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Technical Commission VII (B7)

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Bibliographic data

fullscreen: Technical Commission VII (B7)

Multivolume work

Persistent identifier:
1663813779
Title:
XXII ISPRS Congress 2012
Sub title:
Melbourne, Australia, 25 August-1 September 2012
Year of publication:
2013
Place of publication:
Red Hook, NY
Publisher of the original:
Curran Associates, Inc.
Identifier (digital):
1663813779
Language:
English
Additional Notes:
Kongress-Thema: Imaging a sustainable future
Corporations:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Adapter:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Founder of work:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Other corporate:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Document type:
Multivolume work

Volume

Persistent identifier:
1663821976
Title:
Technical Commission VII
Scope:
546 Seiten
Year of publication:
2013
Place of publication:
Red Hook, NY
Publisher of the original:
Curran Associates, Inc.
Identifier (digital):
1663821976
Illustration:
Illustrationen, Diagramme
Signature of the source:
ZS 312(39,B7)
Language:
English
Additional Notes:
Erscheinungsdatum des Originals ist ermittelt.
Literaturangaben
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Corporations:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Adapter:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Founder of work:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Other corporate:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2019
Document type:
Volume
Collection:
Earth sciences

Chapter

Title:
[VII/2: SAR INTERFEROMETRY]
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
TOWARDS AN URBAN DEM GENERATION WITH SATELLITE SAR INTERFEROMETRY Cristian Rossi, Thomas Fritz, Michael Eineder, Esra Erten, Xiao Xiang Zhu and Stefan Gernhardt
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • XXII ISPRS Congress 2012
  • Technical Commission VII (B7)
  • Cover
  • Title page
  • TABLE OF CONTENTS
  • International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Volume XXXIX, Part B7, Commission VII - elSSN 2194-9034
  • [VII/1: PHYSICAL MODELLING AND SIGNATURES IN REMOTE SENSING]
  • [VII/2: SAR INTERFEROMETRY]
  • [VII/3: INFORMATION EXTRACTION FROM HYPERSPECTRAL DATA]
  • [VII/4: METHODS FOR LAND COVER CLASSIFICATION]
  • LAND COVER INFORMATION EXTRACTION USING LIDAR DATA Ahmed Shaker, Nagwa El-Ashmawy
  • COMBINATION OF GENETIC ALGORITHM AND DEMPSTER-SHAFER THEORY OF EVIDENCE FOR LAND COVER CLASSIFICATION USING INTEGRATION OF SAR AND OPTICAL SATELLITE IMAGERY H. T. Chu and L. Ge
  • DEFINING DENSITIES FOR URBAN RESIDENTIAL TEXTURE, THROUGH LAND USE CLASSIFICATION, FROM LANDSAT TM IMAGERY: CASE STUDY OF SPANISH MEDITERRANEAN COAST N. Colaninno, J. Roca, M. Burns, B. Alhaddad
  • SUPPORT VECTOR MACHINE CLASSIFICATION OF OBJECT-BASED DATA FOR CROP MAPPING, USING MULTI-TEMPORAL LANDSAT IMAGERY R. Devadas, R. J. Denham and M. Pringle
  • NEW COMBINED PIXEL/OBJECT-BASED TECHNIQUE FOR EFFICIENT URBAN CLASSSIFICATION USING WORLDVIEW-2 DATA Ahmed Elsharkawy, Mohamed Elhabiby & Naser El-Sheimy
  • OPTIMIZATION OF DECISION-MAKING FOR SPATIAL SAMPLING IN THE NORTH CHINA PLAIN, BASED ON REMOTE-SENSING A PRIORI KNOWLEDGE Jianzhong Feng, Linyan Bai, Shihong Liu, Xiaolu Su, Haiyan Hu
  • RANDOM FORESTS-BASED FEATURE SELECTION FOR LAND-USE CLASSIFICATION USING LIDAR DATA AND ORTHOIMAGERY Haiyan Guan, Jun Yu, Jonathan Li, Lun Luo
  • SPATIAL INTERPOLATION AS A TOOL FOR SPECTRAL UNMIXING OF REMOTELY SENSED IMAGES Li Xi, Chen Xiaoling
  • LAND COVER CLASSIFICATION OF MULTI-SENSOR IMAGES BY DECISION FUSION USING WEIGHTS OF EVIDENCE MODEL Peijun Li and Bengin Song
  • RESEARCH ON DIFFERENTIAL CODING METHOD FOR SATELLITE REMOTE SENSING DATA COMPRESSION Z. J. Lin, N. Yao, B. Deng, C. Z. Wang, J. H. Wang
  • ACCURACY EVALUATION OF TWO GLOBAL LAND COVER DATA SETS OVER WETLANDS OF CHINA Z. G. Niu, Y. X. Shan, P. Gong
  • IDENTIFICATION OF LAND COVER IN THE PAST USING INFRARED IMAGES AT PRESENT V. Safár, V. Zdímal
  • ALBEDO PATTERN RECOGNITION AND TIME-SERIES ANALYSES IN MALAYSIA S. A. Salleh, Z. Abd Latif, W. M. N. Wan Mohd, A. Chan
  • MODELING SPATIAL DISTRIBUTION OF A RARE AND ENDANGERED PLANT SPECIES (Brainea insignis) IN CENTRAL TAIWAN Wen-Chiao Wang, Nan-Jang Lo, Wei-I Chang, Kai-Yi Huang
  • POST-CLASSIFICATION APPROACH BASED ON GEOSTATISTICS TO REMOTE SENSING IMAGES : SPECTRAL AND SPATIAL INFORMATION FUSION N. Yao, J. X. Zhang, Z. J. Lin, C. F. Ren
  • CLASSIFICATION OF ACTIVE MICROWAVE AND PASSIVE OPTICAL DATA BASED ON BAYESIAN THEORY AND MRF F. Yu, H. T. Li, Y. S. Han, H. Y. Gu
  • [VII/5: METHODS FOR CHANGE DETECTION AND PROCESS MODELLING]
  • [VII/6: REMOTE SENSING DATA FUSION]
  • [VII/7: THEORY AND EXPERIMENTS IN RADAR AND LIDAR]
  • [VII/3, VII/6, III/2, V/3: INTEGRATION OF HYPERSPECTRAL AND LIDAR DATA]
  • [VII/7, III/2, V/1, V/3, ICWG V/I: LOW-COST UAVS (UVSS) AND MOBILE MAPPING SYSTEMS]
  • [VII/7, III/2, V/3: WAVEFORM LIDAR FOR REMOTE SENSING]
  • [ADDITIONAL PAPERS]
  • AUTHOR INDEX
  • Cover

Full text

, 2012 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 
XXII ISPRS Congress, 25 August - 01 September 2012, Melbourne, Australia 
TOWARDS AN URBAN DEM GENERATION WITH SATELLITE SAR 
INTERFEROMETRY 
Cristian Rossi^, Thomas Fritz^, Michael Eineder^, Esra Erten^, Xiao Xiang Zhu® © and Stefan Gernhardt® 
“German Aerospace Center (DLR), Remote Sensing Technology Institute (IMF), Wessling, Germany ¢ cristian.rossi@dlr.de 
bIstanbul Technical University (ITU), Civil Engineering Faculty, Department of Geomatic Engineering, Maslak Istanbul, Turkey 
“Technical University Munich (TUM), Remote Sensing Technology (LMF), Munich, Germany 
Commission VII/2 
KEY WORDS: SAR, Interferometry, TanDEM-X, Urban Digital Elevation Models 
ABSTRACT: 
This paper analyzes the potentials offered by the TanDEM-X mission for the generation of urban DEMs. Operationally acquired urban 
Raw DEMs are validated using as reference a LIDAR DEM. The approach used for the validation is application-oriented as a sub- 
product is a derivation of a urban volume map. The mean buildings absolute height error is found to be below 5 meters. Neglecting the 
buildings geolocation errors, this value drops below 60 centimeters. Nevertheless, the operational municipal mapping is limited to the 
standard resolution of 12 meters. The limitation is attenuated with the use of high resolution spotlight data. High-resolution raw DEMs 
over Las Vegas and Berlin are first analyzed. Some modifications to the interferometric processing chain necessary to produce high 
quality DEMS are studied. The obtained results open a new perspective to the urban DEM generation with satellite SAR interferometry. 
1 INTRODUCTION 
The mapping of urban areas is a claimed task for many manage- 
ment applications, such as urban development monitoring, urban 
climate studies, and renewable energy surveys. Airborne data are 
widely used at this purpose for the generation of Digital Elevation 
Models (DEMs). LiDAR (Light Detection And Ranging) is a ma- 
ture technology for obtaining DEMs in urbanized environment. 
Spaceborne Synthetic Aperture Radar (SAR) is on the contrary 
not largely exploited due essentially to the lack of suitable data. 
In fact, an essential prerequisite for a successful exploitation of 
SAR data finalized to urban reconstruction is a resolution capable 
to map the desired target. A second one, but not less important, 
is the absence of temporal decorrelation in between the two SAR 
acquisitions, or, in other words, an interferometric bistatic config- 
uration. The TanDEM-X mission, started in June 2010, has as pri- 
mary objective the generation of a global DEM following the high 
standard accuracy HRTI-3. The X-band sensors employed for the 
mission allow an accurate building mapping, hence accomplish- 
ing the first prerequisite. Additionally the mission constitutes the 
first bistatic SAR interferometer in space, letting to a faithful sur- 
face reconstruction free of atmospheric and temporal decorrela- 
tions. The acquisition mode used to achieve the HTRI-3 require- 
ments is the stripmap one, with a final spatial DEM resolution of 
12 meters. This resolution does not assure an accurate mapping 
of dense metropolitan areas, nevertheless semi-urban and indus- 
trial areas are well mapped as shown in Sec. 2 with a validation 
made using reference LiDAR data over Munich (Germany). The 
mission foresees however experimental spotlight acquisitions fi- 
nalized to the generation of higher resolution DEMs following the 
HRTI-4 standards with a 6 meters spatial resolution. Considering 
this resolution, a denser urban mapping becomes then possible. 
First examples of urban experimental high-resolution DEM are 
shown over Las Vegas (USA) and Berlin (Germany) in Sec. 3. 
The processing chain adopted for the interferometric DEM gen- 
eration, also called Raw DEM, is built in the Integrated TanDEM- 
X Processor (ITP). Although the chain is highly optimized in a 
global scale, some modifications are necessary for the purposes 
of the paper. In particular, the spectral shift filtering, the coreg- 
istration, the interferogram generation and the phase unwrapping 
73 
processing steps are redesigned towards an optimal configuration 
for the local municipal zone to map. The limits of an interfero- 
metric SAR city modelling are introduced in Sec. 4 as conclusive 
remark. 
2 OPERATIONAL URBAN RAW DEM VALIDATION 
The main goal of the TanDEM-X mission is the generation of 
a global DEM, thus including all the cities all over the world. 
The processing of Raw Data for the generation of the Raw DEM 
is performed by one single processor, the Integrated TanDEM- 
X Processor (ITP) (Breit et al., 2010), not described in this pa- 
per. ITP is optimally configured in every single processing stage 
to provide a Raw DEM close to the HRTI-3 standards (relative 
point-to-point height accuracy of 2 meters for moderate terrain 
with slope inferior to 20° in a 1° by 1° cell). In the processing 
facilities, for a standard 50 by 30 kilometers scene, the processing 
time required for the generation of the Raw DEM from the Raw 
Data is about 15 minutes. This high optimization follows the al- 
gorithms presented in (Fritz et al., 2011). Cities inside the scene 
are mapped at the standard posting of 12 meters. Even if the rel- 
ative TanDEM-X height accuracy requirements are successfully 
accomplished (Rizzoli et al., 2012), they are too coarsely defined 
for urban zones. The cell used for the DEM height error spec- 
ification is too large for an accurate analysis over a single city. 
A new strategy is then adopted for the validation of the abso- 
lute height of isolated buildings inside the DEM. It is based on 
the comparison between detected buildings in a reference LiDAR 
DEM and the TanDEM-X one. The input for the comparison is 
the Digital Buildings Model (DBM), derived through a difference 
between the DEM and its Digital Terrain Model (DTM). In prin- 
ciple a thresholding operation on the DBM would be sufficient 
to detect the buildings. In practice, due to the interferometric er- 
rors intrinsic to the urban DEM generation, such as geometric 
decorrelations or phase unwrapping issues (Rossi et al., 2011), a 
thresholding is not sufficient and a morphological operation, nec- 
essary to detect the underlying structures, is used. The simplest 
structuring element for the morphological operation is the 2-by- 
2 square. By this way sharp rectangular edges representing the 
buildings - are extracted and noisy areas are discarded. Standard 
 
	        

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